Text Search Engine

npm i text-search-engine

import { search } from 'text-search-engine'

// 纯英文搜索
search('nonode', 'no')    // [[0, 1]] - 匹配 'no'
search('nonode', 'nod')   // [[2, 4]] - 匹配 'nod'
search('nonode', 'noe')   // [[0, 1], [5, 5]] - 匹配 'no' + 'e'

// 纯中文搜索（支持拼音）
search('地表最强前端监控平台', 'jk')        // [[6, 7]] - 匹配 '监控'
search('地表最强前端监控平台', 'qianduapt') // [[4, 5], [8, 9]] - 匹配 '前端' + '平台'

// 中英文混合搜索
search('Node.js 最强监控平台 V9', 'nodejk') // [[0, 3], [10, 11]] - 匹配 'Node' + '监控'

search('Node.js 最强监控平台 V9', 'jknode')    // undefined
search('Node.js 最强监控平台 V9', 'jk node')   // [[10, 11], [0, 3]] - 可以匹配！

// mergeSpaces - 合并空格
search('chrome 应用商店', 'meyinyon', { mergeSpaces: false }) // [[4, 5], [7, 8]]
search('chrome 应用商店', 'meyinyon', { mergeSpaces: true })  // [[4, 8]]

// strictnessCoefficient - 严格系数
search('Node.js 最强监控平台 V8', 'nozjk', { strictnessCoefficient: 0.5 }) // [[0, 1], [8, 8], [10, 11]]
search('Node.js 最强监控平台 V8', 'nozjk', { strictnessCoefficient: 0.4 }) // undefined

// isCharConsecutive - 连续字符
search('Chinese@中国 People-人', 'chie')                              // [[0, 2], [4, 4]]
search('Chinese@中国 People-人', 'chie', { isCharConsecutive: true }) // undefined

// strictCase - 大小写敏感
search('Hello World', 'hello')                        // [[0, 4]]
search('Hello World', 'hello', { strictCase: true })  // undefined

import { highlightMatches } from 'text-search-engine'

console.log(highlightMatches('Node.js 最强监控平台 V9', 'nodev9'))
// 输出带高亮的文本

import { HighlightWithTarget } from 'text-search-engine/react'

function SearchResult() {
  return <HighlightWithTarget source='Node.js 最强监控平台 V9' target='nodejk' />
}

import { HighlightWithRanges } from 'text-search-engine/react'
import { search } from 'text-search-engine'

function SearchResult() {
  const ranges = search('Node.js 最强监控平台 V9', 'nodejk')
  return <HighlightWithRanges source='Node.js 最强监控平台 V9' hitRanges={ranges} />
}

import { search } from 'text-search-engine'
import { HighlightWithRanges } from 'text-search-engine/react'

function SearchList({ items, query }) {
  const results = items
    .map(item => ({ item, ranges: search(item.name, query) }))
    .filter(({ ranges }) => ranges !== undefined)

  return (
    <ul>
      {results.map(({ item, ranges }) => (
        <li key={item.id}>
          <HighlightWithRanges source={item.name} hitRanges={ranges} />
        </li>
      ))}
    </ul>
  )
}

import { 
  extractBoundaryMapping, 
  searchSentenceByBoundaryMapping 
} from 'text-search-engine'

const source = 'Node.js 最强监控平台 V9'

// 预先提取 boundaryData（只需执行一次）
const boundaryData = extractBoundaryMapping(source)

// 多次搜索复用同一个 boundaryData
function searchMultiple(queries) {
  return queries.map(query => {
    const { hitRanges, wordHitRangesMapping } = searchSentenceByBoundaryMapping(boundaryData, query)
    return { query, hitRanges, wordHitRangesMapping }
  }).filter(result => result.hitRanges !== undefined)
}

// 示例：对同一数据源进行多次搜索
const results = searchMultiple(['node', 'jk', 'v9', 'qianduan'])

import { search } from 'text-search-engine'

function searchDocuments(documents, query, options = {}) {
  const { limit = 20, strictnessCoefficient = 0.6 } = options
  
  const results = []
  
  for (const doc of documents) {
    const ranges = search(doc.title, query, { strictnessCoefficient })
    if (ranges) {
      results.push({ doc, ranges })
      if (results.length >= limit) break
    }
  }
  
  return results
}